A Linearly Involved Generalized Moreau Enhancement of <i>ℓ</i><sub>2,1</sub>-Norm with Application to Weighted Group Sparse Classification

A Linearly Involved Generalized Moreau Enhancement of <i>ℓ</i><sub>2,1</sub>-Norm with Application to Weighted Group Sparse Classification

This paper proposes a new group-sparsity-inducing regularizer to approximate <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><msub><mo>ℓ</mo><mrow><mn>2</mn><mo>,</mo>&l...

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Autores principales: Yang Chen, Masao Yamagishi, Isao Yamada
Formato: article
Lenguaje:EN
Publicado: MDPI AG 2021
Materias:
convex optimization
proximal splitting algorithm
generalized Moreau enhancement
group sparsity
weighted <i>ℓ</i><sub>2,1</sub>-norm
sparse representation-based classification
Industrial engineering. Management engineering
T55.4-60.8
Electronic computers. Computer science
QA75.5-76.95
Acceso en línea:https://doaj.org/article/64f9e46ca8f4408a91b5946d0094eaf3
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